Mengdan Tao

787 citations
15 papers · 556 indexed · 1 hit paper · h-index 9
Topics
Pluripotent Stem Cells Research (8 papers)Neuroscience and Neural Engineering (5 papers)Autophagy in Disease and Therapy (2 papers)
Partner nations
ChinaSwedenIndia

In The Last Decade

Mengdan Tao

13 papers receiving 547 citations

Hit Papers

Human organoids in basic research and clinical applications2022202620232024202250100150200250

Peers

Mengdan Tao
Comparison fields: 5 of 96
  • Molecular Biology 287
  • Biomedical Engineering 193
  • Cellular and Molecular Neuroscience 99
  • Electrical and Electronic Engineering 65
  • Oncology 57
Replace Kátia N. Gomes with:
Kátia N. Gomes Brazil
Fangchao Yin China
Hsin-I Lin Taiwan
Peishan Liu-Snyder United States
Goodwell Nzou United States
Concepción García‐Rama Spain
Jamie R. K. Marland United Kingdom
Berend J. van Meer Netherlands
Sofia Duque Santos Portugal
Barry J. Liang United States
Mengdan Tao relative to Kátia N. Gomes Brazil Kátia N. Gomes's profile →
Citations per field
00.5×6.6×
Kátia N. Gomes · 1×
Citations per year

Countries citing papers authored by Mengdan Tao

Since Specialization
Citations

This map shows the geographic impact of Mengdan Tao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mengdan Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengdan Tao more than expected).

Fields of papers citing papers by Mengdan Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mengdan Tao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mengdan Tao. The network helps show where Mengdan Tao may publish in the future.

Co-authorship network of co-authors of Mengdan Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Mengdan Tao. A scholar is included among the top collaborators of Mengdan Tao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mengdan Tao. Mengdan Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 15
5 17
6 7
7 5
8 8
9 1
10 37
11
Human organoids in basic research and clinical applicationsbreakdown →
278
12 16
13 86
14 30
15 52

About Mengdan Tao

Mengdan Tao is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 15 papers that have together received 556 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Neuroscience and Neural Engineering (5 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Developmental Neuroscience (48 citations), Cellular and Molecular Neuroscience (99 citations) and Electrochemistry (33 citations). Mengdan Tao has collaborated with scholars based in China, Sweden and India. Frequent co-authors include Min Xu, Xiaoyan Tang, Xing Guo, Yuan Hong, Shanshan Wu, Hao Hu, Chu Chu, Da Wang, Yan Liu and Yan Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, ACS Nano and Biochemical and Biophysical Research Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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